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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 12096
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    Explanations

    numerical values and technical codes within text

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and their relationships, particularly regarding age and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    natureconservancy
    -0.87
    sylv
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    ellation
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    wcs
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    */(
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    ãĤ©
    -0.67
    acci
    -0.66
    iatric
    -0.66
    anut
    -0.65
    uously
    -0.65
    POSITIVE LOGITS
    ĸļ
    0.73
    schild
    0.66
    motion
    0.61
    1945
    0.59
     Wonderland
    0.59
    WAY
    0.58
    sup
    0.58
     Banks
    0.58
     privacy
    0.58
     Antarctica
    0.57
    Activations Density 0.233%

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